Triple

T9712073
Position Surface form Disambiguated ID Type / Status
Subject Aino Kallio E235043 entity
Predicate name P16 FINISHED
Object Aino Kallio E235043 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aino Kallio | Statement: [Aino Kallio, name, Aino Kallio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aino Kallio
Context triple: [Aino Kallio, name, Aino Kallio]
  • A. Aino Kallio chosen
    Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
  • B. Johanna Luukkonen
    Johanna Luukkonen is a Finnish public administrator who has served as the municipal manager of the town of Laitila in Southwest Finland.
  • C. Sofi Oksanen
    Sofi Oksanen is a Finnish-Estonian author and playwright renowned for her politically charged novels exploring Eastern European history, memory, and trauma, such as the internationally acclaimed "Purge."
  • D. Anneli Jäätteenmäki
    Anneli Jäätteenmäki is a Finnish politician who briefly served as Finland’s first female prime minister and later became a prominent Member and Vice-President of the European Parliament.
  • E. Kirsti Paakkanen
    Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0705f8819095852263009c28c5 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc0117c8190bc82a985ce59623d completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:19 p.m.